-
Stars10
-
Rank 1,801,658 (Top 36 %)
-
LanguageJupyter Notebook
-
Created about 4 years ago
-
Updated about 4 years ago
Reviews
There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
More Repositories
Machine-Learning-A-Z-Hands-On-Python
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:Deep-Learning-Face-Detection
Detect your face in any image using openCV with dnn moduleMachine-Learning-Resources
Real-Time-Face-Detection
Detect your face on a live stream or real time using OpenCv and DNN moduleDetecting-COVID-19-in-X-ray-images-with-Keras-TensorFlow-and-Deep-Learning
how COVID-19 could be detected in chest X-rays of patients. From there, weβll review our COVID-19 chest X-ray dataset. Iβll then show you how to train a deep learning model using Keras and TensorFlow to predict COVID-19 in our image dataset.Face-Recognition-and-Segmentation
Screw-your-friends
This is the program which is made only for educational purpose. It is best to prank your friends.7up-and-7down-game-for-beginners
Machine-Learning-For-Software-Engineers
This tutorials will take you through the basics of the Numpy which will be required for Machine Learning preprocessig.Using-Tesseract-OCR-to-extract-text-from-images
Tesseract works best when there is a (very) clean segmentation of the foreground text from the background. In practice, it can be extremely challenging to guarantee these types of segmentations. Hence, we tend to train domain-specific image classifiers and detectors. Nevertheless, itβs important that we understand how to access Tesseract OCR via the Python programming language in the case that we need to apply OCR to our own projects (provided we can obtain the nice, clean segmentations required by Tesseract).Data-Manipulation-with-NumPy
OpenCV-Python-Tutorial-For-Beginners
Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. We will be working through many Python examples here. Getting started with OpenCV's Python bindings is actually much easier than many people make it out to be initially. You will need two main libraries, with an optional third: python-OpenCV, Numpy, and Matplotlib.21-Days-Of-Code-With-Code-Warriors
Data-Structure-and-Algo-for-Interview-Preparation
In this repository you will find all the basic problems of DSA as well as some advanced that is asked in coding Interviews..Give a star if you find it helpfulFashion-Product-Images-Classification
Thr growing e-commerce industry presents us with a large dataset waiting to be scraped and researched upon. In addition to professionally shot high resolution product images, we also have multiple label attributes describing the product which was manually entered while cataloging. To add to this, we also have descriptive text that comments on the product characteristics.-Code-Warriors-Unifynd-Invoice-Scanner
mayank8200
Shut-Down-PC-Script
This is a python script which will shut down your pcHousing-Price-Prediction
Disease-Problems
Encode-and-Decode-Caesar-Cipher-
Expense-Tracker-Flutter
Reverse-a-string-using-stack-and-Linked-List
Sentiment_Analysis_Using_LSTM
Basic-Python-Programs
This program is used to find max and min from a dictionary using python language.Build_ChatBot_using_Neural_Network